Demian A. Battaglia

The paper identifies a claustral neuron population that coordinates cortical and hippocampal activity during sleep to enhance memory consolidation.

The paper investigates how inhibitory gain and hub architecture contribute to neural circuit resilience against degeneration by analyzing spiking networks with controlled pruning strategies.

The paper shows that coupled spiking populations with distinct inhibitory timescales generate multi-frequency bursts that self-organize into patterns associated with specific information routing.

The paper introduces a framework to analyze dynamic functional connectivity in epilepsy patients, identifying distinct network flow styles linked to seizure onset and postictal aphasia.

This paper proposes that arousal-driven transitions across critical lines reproduce human functional connectivity dynamics, showing improved fit to empirical data.

The paper investigates how coordinated activity across multiple layers of macaque motor cortex encodes task-relevant information during a delayed match-to-sample task.

The paper shows that an optimal inhibitory-to-excitatory synaptic strength ratio enables both slow (beta) and fast (gamma) neural oscillations, enhancing communication efficiency and information capacity.

This paper introduces a topological fingerprinting method using homological scaffolds from resting-state fMRI data, achieving near-perfect individual identification accuracy.

The paper shows that coordinated oscillations across brain regions and frequencies predict visuomotor behavior and movement accuracy.

The paper shows that 40 Hz light stimulation improves brain dynamics and memory in Alzheimer's disease model mice, suggesting a non-amyloid mechanism for therapeutic effects.

The paper shows that modifying local brain dynamics can compensate for structural connectivity damage, effectively restoring functional connectivity without repairing the physical structure.

The paper shows that hippocampal gamma oscillations are diverse and behaviorally modulated, challenging the idea of rigid gamma sub-bands.

The paper proposes that cognitive functions emerge from combinations of low-level information processing primitives and tests this using computational simulations and information theory metrics.

The paper examines event-related variability in neural responses across age groups, finding structured patterns influenced by task difficulty in infants.

This study shows that brain stimulation effects depend on dynamic states and phases, with machine learning improving prediction by 40%.

The paper shows that cerebellar connectivity maps in mice vary with locomotor conditions and correlate with individual behavioral features.

This study uses an AD mouse model to show early memory deficits and brain network disorganization linked to specific neuropathology.

The paper introduces virtual connectomic datasets by simulating missing connectivity features from existing neuroimaging data, enabling machine learning classification comparable to empirical data.

The paper investigates altered information processing dynamics in experimental epilepsy, finding disrupted substate organization during theta and slow oscillations in specific brain regions.

The paper shows that the human connectome's core-shell structure enables graded ignition dynamics in cortical activity, which is not replicated by randomized connectomes.

The paper quantifies changes in dynamic functional connectivity (dFC) speed after sleep deprivation and finds that modular dFC speed correlates with task-specific cognitive performance declines.

The paper analyzes dynamic functional connectivity (dFC) in fMRI data from healthy elderly, finding that dFC slows down and becomes less complex with aging, correlating with cognitive performance.

The paper analyzes dynamic information sharing networks in hippocampus and entorhinal cortex, revealing core-periphery structures that evolve over time and switch between states independently of global oscillatory states.

The paper identifies computing microstates in rat brain regions where specific neurons perform storage and sharing operations, showing dynamic reassignment of functional roles across brain states.